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Titlebook: Mobile Data Mining and Applications; Hao Jiang,Qimei Chen,Deshi Li Book 2019 Springer Nature Switzerland AG 2019 data mining platforms for

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發(fā)表于 2025-3-21 19:45:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mobile Data Mining and Applications
編輯Hao Jiang,Qimei Chen,Deshi Li
視頻videohttp://file.papertrans.cn/636/635366/635366.mp4
概述Introduces a mobile data mining platform consistent with industry standards.Easily applicable to real-world scenarios.Includes hot topics such as mobile offloading and resource sharing
叢書名稱Information Fusion and Data Science
圖書封面Titlebook: Mobile Data Mining and Applications;  Hao Jiang,Qimei Chen,Deshi Li Book 2019 Springer Nature Switzerland AG 2019 data mining platforms for
描述.This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities...In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers
出版日期Book 2019
關(guān)鍵詞data mining platforms for mobile; data mining over wireless; data processing on mobile; feature discove
版次1
doihttps://doi.org/10.1007/978-3-030-16503-1
isbn_ebook978-3-030-16503-1Series ISSN 2510-1528 Series E-ISSN 2510-1536
issn_series 2510-1528
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:04:56 | 只看該作者
2510-1528 ch as mobile offloading and resource sharing.This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discove
板凳
發(fā)表于 2025-3-22 03:45:08 | 只看該作者
地板
發(fā)表于 2025-3-22 06:04:47 | 只看該作者
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發(fā)表于 2025-3-22 10:20:19 | 只看該作者
Springer Nature Switzerland AG 2019
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發(fā)表于 2025-3-22 16:18:42 | 只看該作者
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發(fā)表于 2025-3-22 19:34:12 | 只看該作者
Hao Jiang,Qimei Chen,Deshi LiIntroduces a mobile data mining platform consistent with industry standards.Easily applicable to real-world scenarios.Includes hot topics such as mobile offloading and resource sharing
8#
發(fā)表于 2025-3-22 21:17:21 | 只看該作者
Book 2019obile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers
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發(fā)表于 2025-3-23 03:13:29 | 只看該作者
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發(fā)表于 2025-3-23 06:29:51 | 只看該作者
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